Journal
NEUROIMAGE
Volume 244, Issue -, Pages -Publisher
ACADEMIC PRESS INC ELSEVIER SCIENCE
DOI: 10.1016/j.neuroimage.2021.118613
Keywords
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Funding
- ERC Starting Grant [640448]
- Excellence of Science grant [HUMVISCAT-30991544]
- FNRS ASP grant [32704080]
- FNRS travel grant
- European Research Council (ERC) [640448] Funding Source: European Research Council (ERC)
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Previous research indicates that the visual system uses redundant information in visual images to facilitate efficient processing, with low spatial frequency information guiding the processing of high spatial frequency detail. The availability of redundant low spatial frequency information is associated with reductions in high spatial frequency representation.
Visual images contain redundant information across spatial scales where low spatial frequency contrast is informative towards the location and likely content of high spatial frequency detail. Previous research suggests that the visual system makes use of those redundancies to facilitate efficient processing. In this framework, a fast, initial analysis of low-spatial frequency (LSF) information guides the slower and later processing of high spatial frequency (HSF) detail. Here, we used multivariate classification as well as time-frequency analysis of MEG responses to the viewing of intact and phase scrambled images of human faces to demonstrate that the availability of redundant LSF information, as found in broadband intact images, correlates with a reduction in HSF representational dominance in both early and higher-level visual areas as well as a reduction of gamma-band power in early visual cortex. Our results indicate that the cross spatial frequency information redundancy that can be found in all natural images might be a driving factor in the efficient integration of fine image details.
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